Development of Neuro controller for ZCS quasi-resonant LUO converter

In many pulse width modulated DC/DC converter topologies, the controllable switches are operated in switch mode where they are required to turn the entire load current on and off during each switching cycle. Under these conditions, the switches are subjected to high switching stresses and power losses. Recently there is an increased interest in the use of Quasi-resonant type DC/DC converters due to the advantages of high frequency of operation, high efficiency, small size, light weight, reduced Electro Magnetic Interference (EMI) and low component stresses. DC/DC ZCS Quasi-resonant Luo converters find applications especially in distributed energy systems like solar systems, vertical axis aero-generator and fuel cell power systems. DC/DC ZCS Quasi-resonant Luo converters are also employed in a variety of applications including power supplies for personal computers, space-craft power systems, lap-top computers, telecommunication equipments as well as DC motor drives. The main objectives of this work are (i) development of Neuro controller of ZCS Quasi-resonant Luo converter using MATLAB (Version 7.01) software (ii) TMS320F2407 DSP based hardware implementation of neuro controller and (iii) evaluation the controller´s performances. It is found that the control developed provides fast responses and good performance. The simulation and experimental results closely match with each other and highlight the feasibility and validity of the developed control scheme.